DenMune Research datasets
used by the paper "DenMune: Density Peak Based Clustering Using Mutual Nearest Neighbors"
Author: Mohamed Ali Abbas email: mohamed.alyabbas@gmail.com

9 real datasets from UCI repository at https://archive.ics.uci.edu/ml/index.php
1 MNIST dataset from http://yann.lecun.com/exdb/mnist/
14 synthetic datasets from http://cs.joensuu.fi/sipu/datasets/
1 Chemleon DD7 dataset from http://glaros.dtc.umn.edu/gkhome/cluto/cluto/download
1 HDBSCAN Clusterable dataset from https://github.com/scikit-learn-contrib/hdbscan/

Ground truth are provided in seperate file for each dataset with 'gt' suffix
Reduced version of the original dataset using t-sne is provided using '2d' suffix

|---------------------|--------------------------------------------------------------------------------------------|
| dataset             | download from                                                                              |
|---------------------|--------------------------------------------------------------------------------------------|
| Iris                | https://archive.ics.uci.edu/ml/datasets/Iris                                               |
| SCC                 | https://archive.ics.uci.edu/ml/datasets/Synthetic+Control+Chart+Time+Series                |
| Ecoli               | https://archive.ics.uci.edu/ml/datasets/ecoli                                              |
| Breast Cancer       | https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29             |
| Libras Movement     | https://archive.ics.uci.edu/ml/datasets/Libras+Movement                                    |
| Sonar               | https://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+%28Sonar%2C+Mines+vs.+Rocks%29 |
| Arcene              | https://archive.ics.uci.edu/ml/datasets/Arcene                                             |
| Optical Digits      | https://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits          |
| Pen-Based Digits    | https://archive.ics.uci.edu/ml/datasets/Pen-Based+Recognition+of+Handwritten+Digits        |
| MNIST               | http://yann.lecun.com/exdb/mnist/                                                          |
| Chameleon DS7       | http://glaros.dtc.umn.edu/gkhome/cluto/cluto/download                                      |
| HDBSCAN Clusterable | https://github.com/scikit-learn-contrib/hdbscan/blob/master/notebooks/clusterable_data.npy |
| Aggregation         | http://cs.joensuu.fi/sipu/datasets/                                                        |
| Compound            | http://cs.joensuu.fi/sipu/datasets/                                                        |
| Pathbased           | http://cs.joensuu.fi/sipu/datasets/                                                        |
| Spiral              | http://cs.joensuu.fi/sipu/datasets/                                                        |
| Jain                | http://cs.joensuu.fi/sipu/datasets/                                                        |
| Flame               | http://cs.joensuu.fi/sipu/datasets/                                                        |
| G2-2-10             | http://cs.joensuu.fi/sipu/datasets/                                                        |
| G2-2-30             | http://cs.joensuu.fi/sipu/datasets/                                                        |
| G2-2-50             | http://cs.joensuu.fi/sipu/datasets/                                                        |
| G2-2-100            | http://cs.joensuu.fi/sipu/datasets/                                                        |
| DIM032               | http://cs.joensuu.fi/sipu/datasets/                                                        |
| DIM1024             | http://cs.joensuu.fi/sipu/datasets/                                                        |
| D31                 | http://cs.joensuu.fi/sipu/datasets/                                                        |
| S1                  | http://cs.joensuu.fi/sipu/datasets/                                                                                       |---------------------|--------------------------------------------------------------------------------------------|